4,427 Principal Research Scientist AI Ml Remote jobs in Kenya
Remote Principal Data Scientist - Machine Learning
Posted 13 days ago
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Principal Scientist - AI in Drug Discovery
Posted today
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Remote Principal Research Scientist - AI in Drug Discovery
Posted 21 days ago
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Remote Principal Research Scientist - AI & Machine Learning
Posted 5 days ago
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Key responsibilities include:
- Leading independent research initiatives in AI and Machine Learning, with a focus on novel algorithm development.
- Designing and implementing state-of-the-art ML models and deep learning architectures.
- Conducting rigorous experimentation, data analysis, and performance evaluation of developed models.
- Publishing research findings in leading academic venues and contributing to the broader scientific community.
- Mentoring and guiding a team of research scientists and engineers.
- Collaborating with product and engineering teams to explore the commercialization of research breakthroughs.
- Staying at the forefront of AI research by actively engaging with the scientific literature and attending conferences.
- Contributing to the strategic direction of the company's AI research roadmap.
- Developing and presenting research proposals to secure funding and resources.
- Ensuring ethical considerations are integrated into AI research and development processes.
To qualify for this position, candidates must possess a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. A minimum of 10+ years of post-doctoral research experience in AI/ML is required, with a significant portion in a lead or principal research role. A strong portfolio of peer-reviewed publications and demonstrated success in leading research projects are essential. Expertise in at least one of the following areas is highly desirable: NLP, Computer Vision, Reinforcement Learning, Generative Models, or Explainable AI. Proficiency in programming languages such as Python and ML frameworks like TensorFlow or PyTorch is mandatory. Excellent scientific communication, leadership, and problem-solving skills are critical. This remote role requires a high degree of self-motivation, intellectual curiosity, and the ability to work effectively with distributed teams.
Principal Remote Scientific Research Scientist (Data Science) (Remote)
Posted 21 days ago
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Key responsibilities include spearheading research projects, mentoring junior scientists, and collaborating with interdisciplinary teams to explore novel hypotheses and develop groundbreaking solutions. You will be expected to author high-impact scientific publications, present findings at international conferences, and contribute to patent filings. Expertise in programming languages such as Python or R, proficiency with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn), and advanced knowledge of big data technologies and cloud computing platforms are mandatory. A strong understanding of statistical inference, experimental design, and data visualization techniques is essential.
You will play a pivotal role in shaping our client's data science strategy, identifying emerging trends, and advocating for the adoption of new methodologies and tools. The ability to lead complex, multi-faceted research endeavors with minimal supervision, while fostering a collaborative and intellectually stimulating remote work environment, is paramount. Exceptional communication, presentation, and interpersonal skills are required to effectively convey complex technical concepts to diverse audiences, including executive leadership and external collaborators. This is a unique opportunity to influence the future of scientific research at the highest level.
Location: Garissa, Garissa, KE
Remote Principal Research Scientist - AI/ML
Posted 19 days ago
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Responsibilities:
- Lead and manage research projects in AI/ML, from conceptualization to implementation and validation.
- Develop and refine novel algorithms and methodologies in areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Design and conduct rigorous experiments to evaluate the performance and efficacy of AI models.
- Publish research findings in top-tier scientific journals and present at international conferences.
- Collaborate with cross-functional teams of engineers and domain experts to integrate research outcomes into practical applications.
- Mentor and guide a team of research scientists and engineers, fostering a culture of innovation and scientific excellence.
- Stay abreast of the latest advancements in AI/ML and identify emerging research opportunities.
- Contribute to the development of intellectual property, including patents and trade secrets.
- Write grant proposals and secure funding for research initiatives.
- Ensure the ethical and responsible development and deployment of AI technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related quantitative field.
- A minimum of 10 years of hands-on research experience in AI/ML, with a strong publication record in leading venues.
- Demonstrated expertise in one or more subfields of AI/ML (e.g., deep learning, NLP, computer vision, reinforcement learning).
- Proven experience leading research teams and managing complex research projects.
- Proficiency in programming languages such as Python and experience with ML frameworks (e.g., TensorFlow, PyTorch).
- Excellent understanding of statistical modeling, data analysis, and experimental design.
- Exceptional problem-solving skills and the ability to tackle challenging, open-ended research problems.
- Strong written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
- Ability to work independently and collaboratively in a distributed, remote environment.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
Principal Remote Data Scientist (AI/ML)
Posted 12 days ago
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Principal Research Scientist - AI in Biotech - Remote
Posted 21 days ago
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- Defining and driving the strategic research agenda for AI applications in biotechnology.
- Developing and implementing advanced machine learning models for biological data analysis, such as protein folding, drug target identification, and genomic variation analysis.
- Designing and executing complex computational experiments and simulations.
- Collaborating with experimental biologists and chemists to validate AI-driven hypotheses and discoveries.
- Leading the integration of AI/ML tools into the drug discovery and development pipeline.
- Mentoring and guiding a team of talented research scientists and data engineers.
- Publishing research findings in top-tier scientific journals and presenting at international conferences.
- Securing and managing research grants and collaborations.
- Staying abreast of the latest advancements in AI, machine learning, computational biology, and related fields.
- Ensuring the ethical and responsible use of AI in biological research.
- Contributing to the intellectual property portfolio through patents and innovative discoveries.
Principal Research Scientist - Artificial Intelligence Ethics
Posted today
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Key Responsibilities:
- Lead and conduct advanced research on the ethical implications of artificial intelligence and machine learning.
- Develop theoretical frameworks and practical methodologies for assessing and mitigating ethical risks in AI systems.
- Investigate issues of bias, fairness, accountability, transparency, and privacy in AI.
- Collaborate with AI researchers, engineers, policymakers, and ethicists globally.
- Publish research findings in top-tier academic journals and present at international conferences.
- Influence the development of AI ethics guidelines, standards, and policies.
- Advise government agencies and industry leaders on responsible AI practices.
- Develop educational materials and conduct workshops on AI ethics for diverse audiences.
- Contribute to the strategic direction of the institute's AI ethics research program.
- Mentor junior researchers and postdoctoral fellows.
- Evaluate the societal impact of emerging AI technologies.
- Translate complex ethical concepts into actionable recommendations for AI developers and deployers.
- Engage in public discourse on AI ethics through articles, interviews, and public speaking.
- Foster interdisciplinary collaboration on AI ethics initiatives.
- Ensure the ethical conduct of research projects.
- Ph.D. in Philosophy, Ethics, Computer Science, Law, Sociology, or a related field with a strong focus on AI ethics.
- Minimum of 10 years of research experience, with a significant portion dedicated to AI ethics and responsible AI.
- Demonstrated track record of high-impact publications, grant funding, and leadership in the field of AI ethics.
- Deep understanding of AI/ML concepts, algorithms, and their societal implications.
- Exceptional analytical, critical thinking, and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to engage diverse stakeholders.
- Proven experience leading research teams and managing complex projects in a remote environment.
- Familiarity with relevant legal and policy frameworks concerning AI.
- Strong commitment to advancing ethical AI development and deployment.
- Ability to work independently and drive ambitious research agendas.
- Experience in public policy engagement or industry consultation is a significant advantage.
Principal Research Scientist - AI
Posted 7 days ago
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Key Responsibilities:
- Conduct high-impact research in key areas of Artificial Intelligence, including deep learning, natural language processing, computer vision, and reinforcement learning.
- Design and implement novel algorithms and models, and conduct rigorous empirical evaluations.
- Collaborate with other researchers and engineers to translate research findings into practical applications and prototypes.
- Publish research results in leading AI conferences and journals.
- Mentor junior researchers and contribute to the intellectual growth of the team.
- Stay abreast of the latest advancements in AI and related fields, identifying emerging trends and opportunities.
- Contribute to the strategic direction of AI research within the organization.
- Present research findings internally and externally to technical and non-technical audiences.
- Develop and maintain high-quality code for research experiments and prototypes.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- Minimum of 8 years of post-doctoral research experience in AI/ML, with a strong publication record in top-tier venues.
- Deep theoretical understanding of machine learning, statistical modeling, and algorithms.
- Expertise in at least one major area of AI (e.g., NLP, Computer Vision, Reinforcement Learning).
- Proficiency in programming languages such as Python, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data analysis and distributed computing is highly desirable.
- Strong analytical and problem-solving skills, with a creative approach to research challenges.
- Excellent communication, presentation, and interpersonal skills.
- Demonstrated ability to lead research projects and work effectively in a remote, collaborative team environment.
- A passion for innovation and a drive to make significant contributions to the field of AI.